Vfrdtyky

i try to use RASA to build a sample bot, but i got ths error message,

Bot loaded. Type a message and press enter (use '/stop' to exit):

sad

Exception in thread Thread-2:

Traceback (most recent call last):

  File "C:python36libthreading.py", line 916, in _bootstrap_inner

    self.run()

  File "C:python36libthreading.py", line 864, in run

    self._target(*self._args, **self._kwargs)

  File "C:python36libsite-packagesrasa_corechannelschannel.py", line 291, in on_message_wrapper

    on_new_message(message)

  File "C:python36libsite-packagesrasa_coreagent.py", line 316, in handle_message

    return processor.handle_message(message)

  File "C:python36libsite-packagesrasa_coreprocessor.py", line 86, in handle_message

    self._predict_and_execute_next_action(message, tracker)

  File "C:python36libsite-packagesrasa_coreprocessor.py", line 305, in _predict_and_execute_next_action

    action, policy, confidence = self.predict_next_action(tracker)

  File "C:python36libsite-packagesrasa_coreprocessor.py", line 168, in predict_next_action

    probabilities, policy = self._get_next_action_probabilities(tracker)

  File "C:python36libsite-packagesrasa_coreprocessor.py", line 478, in _get_next_action_probabilities

    tracker, self.domain)

  File "C:python36libsite-packagesrasa_corepoliciesensemble.py", line 288, in probabilities_using_best_policy

    if (result.index(max_confidence) ==

AttributeError: 'NoneType' object has no attribute 'index'

i use :

PYTHON  3.6.0

RASA CORE   0.12.0

RASA NLU    0.13.0

TENSORFLOW  1.10.0

PROTOBUF    3.6.0

ho it possible to solve this ?
Thank you

With rasa_core version 0.12 you have to provide a policy configuration for the training. You can e.g. a default template for that from Github.
E.g. save the following snippet in a file called default_config.yml:

policies:

  - name: KerasPolicy

    epochs: 100

    max_history: 5

  - name: FallbackPolicy

    fallback_action_name: 'action_default_fallback'

  - name: MemoizationPolicy

    max_history: 5

  - name: FormPolicy

Then train Rasa Core with:

python -m rasa_core.train 

  -d <path to domain file> 

  -s <path to stories> 

  -c default_config.yml 

  -o models/dialogue

Then run the trained model with:

python -m rasa_core.run -d models/dialogue

It looks like you have not trained the dialogue model or Policies have not been created properly. Try training your dialogue module again with following command

python -m rasa_core.train -d domain.yml -s stories.md -o models/dialogue

It will be good if you can you show contents following directory:

./models/dialogue

It should look something like below.